Jae Sung Son¹, Soo-Jin Kim^2,*

Congenital Heart Disease, Vol.20, No.4, pp. 421-440, 2025, DOI:10.32604/chd.2025.070250 - 18 September 2025

Abstract Background: Advancements in diagnostic tools, surgical techniques, and long-term management have significantly improved survival among individuals with congenital heart disease (CHD), leading to an evolving epidemiologic profile characterized by increasing procedural complexity and a growing adult CHD population. This study aimed to examine nationwide trends in CHD surgeries over a 17-year period, with a focus on temporal shifts in surgical volume, procedural complexity, and age-specific incidence. Methods: A total of 41,608 CHD surgeries and 85,417 surgical procedures performed between 2002 and 2018 were identified from a nationwide health insurance database. Temporal trends were evaluated using segmented… More >

Yifan Li^1,#, Xu Huang^2,#, Bingyu Ma³, Ling Sun¹, Shushui Wang¹, Zhiwei Zhang¹, Yumei Xie^1,*

Congenital Heart Disease, Vol.20, No.4, pp. 463-475, 2025, DOI:10.32604/chd.2025.068286 - 18 September 2025

Abstract Objective: The aim of the present study was to investigate long-term efficacy and safety of percutaneous stent implantation for residual pulmonary artery stenosis (PAS) in pediatric patients after surgical repair of complicated congenital heart diseases (CHDs). Methods: All pediatric patients diagnosed with residual PAS after surgical repair of complicated CHDs between 1996 and 2020 were retrospectively enrolled in the study. Results: A total of 41 patients (30 males, 11 females; median age 5.0 years, median weight 17 kg) were followed-up for a median of 7.1 years. Follow-up echocardiography results demonstrated that the target vessel diameter increased from… More >

Farhan Sarwar¹, Muhammad Shoaib Farooq¹, Nagwan Abdel Samee^2,*, Mona M. Jamjoom³, Imran Ashraf^4,*

CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5897-5914, 2025, DOI:10.32604/cmc.2025.063832 - 30 July 2025

Abstract Environmental transition can potentially influence cardiovascular health. Investigating the relationship between such transition and heart disease has important applications. This study uses federated learning (FL) in this context and investigates the link between climate change and heart disease. The dataset containing environmental, meteorological, and health-related factors like blood sugar, cholesterol, maximum heart rate, fasting ECG, etc., is used with machine learning models to identify hidden patterns and relationships. Algorithms such as federated learning, XGBoost, random forest, support vector classifier, extra tree classifier, k-nearest neighbor, and logistic regression are used. A framework for diagnosing heart disease More >

Mai Ishiwata^1,2, Kohei Ishibashi^1,*, Yoshiaki Kato³, Heima Sakaguchi³, Toshihiro Nakamura¹, Satoshi Oka¹, Yuichiro Miyazaki¹, Akinori Wakamiya¹, Nobuhiko Ueda¹, Kenzaburo Nakajima¹, Tsukasa Kamakura¹, Mitsuru Wada¹, Yuko Inoue¹, Koji Miyamoto¹, Takeshi Aiba¹, Norihiko Takeda², Kengo Kusano¹

Congenital Heart Disease, Vol.20, No.3, pp. 273-286, 2025, DOI:10.32604/chd.2025.067716 - 11 July 2025

Abstract Background: Ventricular arrhythmia is a common cause of mortality in adult congenital heart disease (ACHD). The beneficial effects of implantable cardioverter-defibrillators (ICD) in patients with ACHD have been demonstrated; however, evidence on this topic remains insufficient. This study aimed to assess the long-term outcomes after ICD implantation in the ACHD population. Methods: We retrospectively reviewed 35 consecutive patients with ACHD who underwent ICD implantation between December 2012 and August 2022. ICD implantation was classified as primary or secondary prevention. The long-term outcomes, including all-cause mortality, appropriate and inappropriate ICD therapy, and complications related to ICD implantation, were… More > Graphic Abstract

Honghao Fu^#, Zhangwei Wang^#, Shoujun Li^*

Congenital Heart Disease, Vol.20, No.3, pp. 287-303, 2025, DOI:10.32604/chd.2025.067619 - 11 July 2025

Abstract Congenital heart disease (CHD) stands as the most common cardiovascular disorder among children, exerting a profound impact on the growth, development, and quality of life of the affected pediatric population. The modified Fontan procedure, the total cavopulmonary connection (TCPC), has become a pivotal palliative or definitive surgical method for treating complex CHD cases, including single ventricle and tricuspid valve atresia. Through staged surgical processes, this technique directly diverts vena cava blood into the pulmonary artery, thus improving the patient’s oxygenation status. Despite the initial success of the Fontan circulation in providing a means for survival More > Graphic Abstract

Juliana Assis Alves¹, Mayra Martins Melo¹, Lorenza Machado Teixeira², Nathalie Jeanne Bravo-Valenzuela³, Edward Araujo Júnior^1,2,*

Congenital Heart Disease, Vol.20, No.3, pp. 369-381, 2025, DOI:10.32604/chd.2025.066358 - 11 July 2025

Abstract Congenital heart disease (CHD) is the most common congenital anomaly and a major cause of death among fetal malformations, but prenatal diagnosis is considered to be low. The development of artificial intelligence (AI) in fetal echocardiography has made it possible to automate and standardise the examination, improving the variation in CHD detection rates between different regions and reducing the reliance on operator experience. AI includes any computer program (algorithms and models) that mimics human logic and intelligence, and its use in fetal echocardiography is mainly to acquire and optimise images, perform automatic measurements, identify discrepant More >

Lily M. Landry^1,*, Christopher L. Jenks²

Congenital Heart Disease, Vol.20, No.3, pp. 325-339, 2025, DOI:10.32604/chd.2025.066142 - 11 July 2025

Abstract Pulmonary hypertension associated with congenital heart disease represents a significant challenge for clinicians due to its complex pathophysiology and diverse presentation. This patient population exhibits a broad spectrum of anatomical and hemodynamic abnormalities, with congenital heart disease-associated pulmonary arterial hypertension (PAH-CHD) comprising a significant proportion of pediatric pulmonary hypertension (PH) cases. Although progress in diagnostic methods and treatment options has been made, PH continues to be a major contributor to illness and death among affected pediatric patients, especially when diagnosis or treatment is postponed. This review aims to equip non-specialist clinicians with a better understanding More >

Guozhen Wang^1,2, Yong An^1,2,*

Congenital Heart Disease, Vol.20, No.3, pp. 347-355, 2025, DOI:10.32604/chd.2025.065354 - 11 July 2025

Abstract Background: Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is a rare congenital anomalous coronary artery origin disorder. Objective: We sought to summarize the clinical experience and prognostic characteristics of surgical treatment of ALCAPA. Methods: We retrospectively analyzed clinical information on patients who had ALCAPA and underwent surgery at our center from February 2016 to October 2023. Results: This comparative study of 23 ALCAPA patients (9 infants <1 year; 14 children >1 year) demonstrated significant age-dependent outcomes. Infant patients exhibited markedly prolonged mechanical ventilation (183 ± 105.6 vs. 48.5 ± 62.2 min, p =… More >

Jingdong Qi^1,#, Fei Zhang^1,#, Xia Zhang^2,*

Congenital Heart Disease, Vol.20, No.3, pp. 383-400, 2025, DOI:10.32604/chd.2025.064790 - 11 July 2025

Abstract Background: Congenital heart disease (CHD) remains a significant global health concern, with considerable heterogeneity across age groups, genders, and regions. Objective: This study aimed to investigate the global epidemiological patterns, inequalities, and socio-demographic determinants of CHD burden from 1990 to 2021 to inform targeted interventions. Methods: This study aimed to investigate the global epidemiological patterns, inequalities, and socio-demographic determinants of CHD burden from 1990 to 2021 to inform targeted interventions. Results: CHD burden increased with age, peaking among individuals aged 70 years and older. This does not reflect new-onset disease, but rather the accumulation of late diagnoses,… More >

Saadia Tabassum^1,2, Fazal Muhammad², Muhammad Ayaz Khan³, Muhammad Uzair Khan^2,4, Dawar Awan⁴, Neelam Gohar⁵, Shahid Khan⁶, Amal Al-Rasheed^7,*

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1253-1278, 2025, DOI:10.32604/cmc.2025.065423 - 09 June 2025

Abstract Early and accurate detection of Heart Disease (HD) is critical for improving patient outcomes, as HD remains a leading cause of mortality worldwide. Timely and precise prediction can aid in preventive interventions, reducing fatal risks associated with misdiagnosis. Machine learning (ML) models have gained significant attention in healthcare for their ability to assist professionals in diagnosing diseases with high accuracy. This study utilizes 918 instances from publicly available UCI and Kaggle datasets to develop and compare the performance of various ML models, including Adaptive Boosting (AB), Naïve Bayes (NB), Extreme Gradient Boosting (XGB), Bagging, and… More >